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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Improving traffic noise simulations using space syntax: preliminary results from two roadway systems.

Angel M Dzhambov, Donka D Dimitrova, Tanya H Turnovska

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    Summary

    Space syntax analysis may enhance traffic noise prediction models. This method improves noise simulations for better city planning and noise control strategies.

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    Area of Science:

    • Environmental Science
    • Urban Planning
    • Spatial Analysis

    Background:

    • Noise pollution is a significant global environmental issue.
    • Effective city planning requires accurate assessment of traffic-generated noise.
    • Current noise simulation models may lack predictive accuracy.

    Purpose of the Study:

    • To evaluate the potential of space syntax in improving traffic noise simulation accuracy.
    • To integrate space syntax analysis with traditional noise assessment methods.

    Main Methods:

    • A record linkage study combining documentary methods and space syntax analysis.
    • Analysis of traffic flow, field-measured noise, and computer-simulated noise data.
    • Application in two Bulgarian urban areas.

    Main Results:

    • Space syntax analysis shows potential for enhancing traffic noise prediction.
    • Improved accuracy in noise simulation models when incorporating space syntax.
    • Demonstrated utility in Bulgarian agglomerations.

    Conclusions:

    • Space syntax offers a promising approach to improve traffic noise prediction models.
    • Further research into space syntax applications in noise prediction algorithms is warranted.
    • This method can aid in developing better noise control strategies for urban environments.